Deep Mechanistic Models reveal pathway-extrinsic drivers of mammary MAPK signalling heterogeneity
This paper introduces Deep Mechanistic Models (DMMs), a framework that integrates semi-supervised representation learning with ordinary differential equation models to reveal that mammary MAPK signalling heterogeneity is primarily driven by pathway-extrinsic factors rather than core pathway variations, while simultaneously using model discrepancies to identify novel biological mechanisms.